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Health state values for the HUI 2 descriptive system: results from a UK survey

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Author Info

  • Christopher McCabe
  • Katherine Stevens

    (Sheffield Health Economics Group, ScHARR, University of Sheffield, UK)

  • Jennifer Roberts

    (Sheffield Health Economics Group, ScHARR, University of Sheffield, UK)

  • John Brazier

    (Sheffield Health Economics Group, ScHARR, University of Sheffield, UK)

Abstract

This paper reports the results of a study to estimate a statistical health state valuation model for a revised version of the Health Utilities Index Mark 2, using Standard Gamble health state preference data. A sample of 51 health states were valued by a sample of the 198 members of the UK general population. Models are estimated for predicting health state valuations for all 8000 states defined by the revised HUI2. The recommended model produces logical and significant coefficients for all levels of all dimensions in the HUI2. These coefficients appear to be robust across model specifications. This model performs well in predicting the observed health state values within the valuation sample and for a separate validation sample of health states. However, there are concerns over large prediction errors for two health states in the valuation sample. These problems must be balanced against concerns over the validity of using the VAS based health state valuation data of the original HUI2 valuation model. Copyright © 2004 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/hec.925
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 14 (2005)
Issue (Month): 3 ()
Pages: 231-244

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Handle: RePEc:wly:hlthec:v:14:y:2005:i:3:p:231-244

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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  1. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
  2. William Furlong & David Feeny & George Torrance & Ronald Barr & John Horsman, 1992. "Guide to Design and Development of Health-State Utility Instrumentation," Centre for Health Economics and Policy Analysis Working Paper Series 1990-09, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
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Cited by:
  1. Musal, R. Muzaffer & Soyer, Refik & McCabe, Christopher & Kharroubi, Samer A., 2012. "Estimating the population utility function: A parametric Bayesian approach," European Journal of Operational Research, Elsevier, vol. 218(2), pages 538-547.
  2. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
  3. Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
  4. Katherine Stevens, 2012. "Valuation of the Child Health Utility 9D Index," PharmacoEconomics, Springer, vol. 30(8), pages 729-747, August.
  5. Richard Edlin & Christopher McCabe & David Meads, 2013. "Assignment errors and the valuation of EQ-5D health states-do responses mean what we think they mean?," Working Papers 1304, Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds.
  6. Christopher McCabe & Richard Edlin & David Meads & Chantelle Brown & Samer Kharroubi, 2013. "Constructing Indirect Utility Models: Some Observations on the Principles and Practice of Mapping to Obtain Health State Utilities," PharmacoEconomics, Springer, vol. 31(8), pages 635-641, August.
  7. McCabe, C & Brazier, J & Gilks, P & Tsuchiya, A & Roberts, J & O'Hagan, A & Stevens, K, 2004. "Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data," MPRA Paper 29759, University Library of Munich, Germany.

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